16 to 40 of 349 Databricks Jobs

Continuity processes and procedures The Data Platform Engineer (Azure) will have the following: Understanding and detailed knowledge of Microsoft Azure DevOps, ITIL, Azure Synapse, Databricks, PowerBI, Data Factory, HD Insights, Python Sparks, and have a strong IT service background. Strong administration of Windows Domains and Windows Server technologies Strong administration more »

/Professional Qualifications/Requirements: Hands-on advanced experience in designing, developing, and managing data pipelines using Azure Data Factory. Strong working knowledge of Databricks for data processing, analytics and Machine learning. Advanced experience with data modelling techniques and data warehousing concepts. Advanced proficiency in SQL for data querying and more »

working with Azure data platform technologies including Data Lake gen 2, Synapse, Analysis Services, Power BI Extensive experience of working with Azure Data Factory & Databricks Extensive SQL knowledge (Microsoft SQL Server 2005+) and experience working with relational databases, query authoring (T-SQL) Microsoft SQL server Integrated Services (SSIS) including ETL … working with Azure data platform technologies including Data Lake gen 2, Synapse, Analysis Services, Power BI Extensive experience of working with Azure Data Factory & Databricks Extensive SQL knowledge (Microsoft SQL Server 2005+) and experience working with relational databases, query authoring (T-SQL) Microsoft SQL server Integrated Services (SSIS) including ETL more »

reports, visualizations, and dashboards. Building automated test frameworks and improving test coverage across projects. Previous experience required Experience in data engineering with tools like Databricks, Azure Data Factory, Spark, Python, SQL, Cosmos DB, Microsoft Azure Analysis Services, and PowerBI. Proficiency in dimensional data modeling and delivering end-to-end BI more »

learn: Design, develop, and maintain scalable data pipelines and ETL processes leveraging GCP, AWS, and/or Azure services Cloud Database Management: BigQuery, Snowflake, Databricks, and Redshift Architect data models and schemas in BigQuery to support analytics, reporting, and business intelligence initiatives. Python development Implement data governance and security best more »

interaction with external systems.Required Skills and Qualifications:Strong knowledge and experience with Azure services, including AKS, Azure Data Lake Storage, Azure Data Factory, Azure Databricks, or Azure Synapse Analytics.Proficiency in continuous integration and continuous deployment (CI/CD) methodologies and tools.Solid scripting and development skills, with expertise in Python and more »

data proficiency Thorough understanding of data lake and data warehousing principles and full project involvement in one or more major technology platforms, e.g. Snowflake, Databricks Proven experience with one or more Cloud Services provider, e.g. AWS, Azure or Google Cloud Platform. Good understanding of role-based access control, its importance more »

with Python.Experience building scalable, high-quality data models that serve complex business use cases.Knowledge of dbt and experience with cloud data warehouses (BigQuery, Snowflake, Databricks, Azure Synapse etc).Proficiency in building BI dashboards and self-service capabilities using tools like Tableau and Looker.Excellent communication skills and experience in managing stakeholder more »

efficient scrum teams Be a subject matter expert in the data platform domain, demonstrating proficiency in: Data lakes, data marts, and data warehousing (Azure Databricks, ADF, Azure Synapse, HD Insight). SQL, NoSQL, and Graph databases. Processing both structured and unstructured data, data modelling, and achieving a single customer view. more »

bring your knowledge and experience of Azure data processing services to our platform, this will include some of the following: Data factory, Data Share, Databricks, Event hubs and Stream analytics to build data ingestion and processing pipelines that deal with highly confidential data securely and efficiently advise and assist with more »

to guide how one could deploy infrastructure into different environments. Knowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop Good understanding of possible architectures involved in modern data system design (Data Warehouse, Data Lakes, Data Meshes) Ability to create data pipelines on more »

to guide how one could deploy infrastructure into different environments. Knowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop Good understanding of possible architectures involved in modern data system design (Data Warehouse, Data Lakes, Data Meshes) Ability to create data pipelines on more »

data requirements and deliver solutions that drive business value. Requirements: 7+ years in a Data Engineering Role Excellent proficiency in SQL, Python, Microsoft Azure, Databricks, PySpark, Experience managing a team Details: Start Date: ASAP Duration: 3 months, option for permanent extension Day rate: Up to £400Ltd, depending on experience Annual more »

data science and analytics team in deploying pipelines. Coach and mentor the team to improve development standards. Key requirements: Strong hands-on experience with Databricks, Spark, SQL or Scala. Proven experience designing and building data solutions on a cloud based, big data distributed system (AWS/Azure etc.) Hands-on more »

data processing and integration. Collaborating cross-functionally to translate complex data requirements into actionable technical solutions that drive business objectives. Leveraging Microsoft Azure and Databricks to architect robust data solutions, prioritizing performance optimization for enhanced operational efficiency. Conducting data modeling, profiling, and quality assessments to uphold the integrity and reliability more »

through to completion Implementation of data platform using Microsoft Azure stack Experience of using technologies such as Azure Data Factory, Azure Data Lake, Azure Databricks etc. along with Power BI. If you are a Senior Solutions Architect with strong experience in the data services space and expert knowledge in strategic more »

Business Intelligence products and solutions Strong ability to coach, guide and motivate junior team members Deep understanding of the Microsoft technology stack, specifically PowerBI, Databricks & Azure Cloud Proficiency in SQL, strong understanding of ETL and ELT processes Strong communication skills, ability to translate complex messages into concise, easy-to-understand more »

management, governance, data & modelling lifecycles (ML Ops). Seek to improve model efficiency, performance, and scalability Microsoft Technology Stack experience sought (Azure Data Lake, Databricks, Azure ML, Power BI), and capabilities of programming in and understanding R & Python. You will also likely have: A passion for problem-solving and innovation more »

Azure data systems experience. Proficiency in traditional Data Warehouse tools. Understanding of Dimension Modelling. Strong SQL skills. Knowledge of Azure Data Lake, Data Factory, Databricks, and Functions. Essential Experience Support for Data Warehouses. Building Azure data pipelines. Agile methodology experience. Problem-solving skills. Awareness of industry trends. Stakeholder engagement. Desired more »

timely delivery. Requirements; Significant experience working as a Lead Data Engineer within Financial Services Certifications in relevant technologies, such as Azure Data Engineer or Databricks Certified Developer Experience with real-time data processing and streaming technologies like Apache Kafka or Azure Event Hubs Knowledge of data visualization tools, such as more »

SQL and Azure Data Engineering Hands-on experience in designing and developing scripts for custom ETL processes and automation in Azure Data Factory, Azure Databricks, Azure Synapse, Python, Pyspark etc. Experience being customer-facing on numerous data focused projects with a consultative approach Ability to deliver high to low-level more »

SQL and Azure Data Engineering Hands-on experience in designing and developing scripts for custom ETL processes and automation in Azure Data Factory, Azure Databricks, Azure Synapse, Python, Pyspark etc. Experience being customer-facing on numerous data focused projects with a consultative approach Ability to deliver high to low-level more »

Lead or Senior Data Engineer role * A strong understanding of data architecture concepts * Experience working with Azure technologies such as Data Lakes, Data Factory, Databricks, Synapse Analytics * Strong ETL experience * Experience as a team lead or mentoring other members of the teamThis is just a brief overview of the role. more »

ETL, SQL Database, Reporting) Knowledge of Dimension Modelling Strong SQL skills, experience in writing complex SQL queries Knowledge of Azure Data Lake, Data Factory, Databricks and Functions Essential Experience Experience in supporting traditional Data Warehouses Exposure in building Azure based data ingestion and transformation pipelines, data lake, data warehouse/ more »

and data and information systems design Experience with data management, database management systems, data services (including APIs), and enterprise data platform technologies (e.g. Fabric, Databricks, Snowflake, etc.) Experience architecting data-centric solutions at a conceptual, logical and physical level Experience in architecting, designing and implementing solutions on AWS and Microsoft more »